Flood Estimation in Ungauged Catchment Using ENKI Simulation: A Case Study in Norway

10 pages•Published: September 20, 2018

Yueyang Chen, Oddbjørn Bruland and Tiejian Li

Abstract

This paper deals with flood estimation in ungauged catchment using continuous rainfall-runoff model. The rainfall-runoff model used in this study is developed based on the ENKI hydrological framework. In this study, flood estimation in ungauged catchment is based on transfer of parameter values from nearby station. The catchment used in this study to test the suitability of the ENKI system in flood estimation of ungauged catchment is the Gaula catchment located in Norway. This catchment has three main sub-catchments where flow records are available. The ENKI system is calibrated for each sub-catchment. In order to test its suitability in flood estimation, the average of the parameter set obtained from any of the two sub-catchments is used in the remaining sub-catchments. The performance of the ENKI system in flood estimation is evaluated in terms of the Nash–Sutcliffe (NSE) model efficiency index and the model ability to simulate the daily observed Annual Maximum Series (AMS). The result of this study shows that the ENKI framework has considerable potential in flood estimation in ungauged catchments.

Keyphrases: distributed hydrological modelling, enki, flood analysis

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 428-437.

Links:	https://easychair.org/publications/paper/VGGD
	https://doi.org/10.29007/hrpj

BibTeX entry

@inproceedings{HIC2018:Flood_Estimation_Ungauged_Catchment,
  author    = {Yueyang Chen and Oddbjørn Bruland and Tiejian Li},
  title     = {Flood Estimation in Ungauged Catchment Using ENKI Simulation: A Case Study in Norway},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/VGGD},
  doi       = {10.29007/hrpj},
  pages     = {428-437},
  year      = {2018}}

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